Collecting and Analyzing Qualitative Data

B. Wolff, F. Mahoney, A. Lohiniva, Melissa Corkum
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引用次数: 21

Abstract

Qualitative research provides an adaptable, open-ended, rigorous method to explore local perceptions of an issue. Qualitative approaches are effective at revealing the subjective logic motivating behavior. They are particularly appropriate for research questions that are exploratory in nature or involve issues of meaning rather than magnitude or frequency. Key advantages of qualitative approaches include speed, flexibility and high internal validity resulting from emphasis on rapport building and ability to probe beneath the surface of initial responses. Given the time-intensive nature of qualitative analysis, samples tend to be small and purposively selected to assure every interview counts. Qualitative studies can be done independently or embedded in mixed-method designs. Qualitative data analysis depends on rigorous reading and rereading texts ideally with more than one analyst to confirm interpretations. Computer software is useful for analyzing large data sets but manual coding is often sufficient for rapid assessments in field settings..
收集和分析定性数据
定性研究提供了一种适应性强的、开放式的、严谨的方法来探索当地对某一问题的看法。定性方法能有效地揭示动机行为的主观逻辑。它们特别适合于探索性的研究问题,或者涉及意义问题而不是量级或频率问题。定性方法的主要优点包括速度、灵活性和高内部效度,这是由于强调建立融洽关系和探究初始反应表面之下的能力。考虑到定性分析的时间密集性,样本往往很小,并且有意选择以确保每次访谈都有意义。定性研究可以独立完成,也可以嵌入到混合方法设计中。定性数据分析依赖于严格的阅读和反复阅读文本,最好有不止一个分析师来确认解释。计算机软件对分析大型数据集很有用,但手动编码通常足以在现场设置中进行快速评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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